Bike Sharing Systems (BSS) is a very widely used method of transportation for many people worldwide.
They have several advantages:
The objective is to create multivariate regression models capable of estimating the following
Demographics:
Community
Weather
Sliding Window Statistics:
NB: Weather is especially important. BIXI BSS in Montreal is not operational in unfavorable weather, typically in mid-November to April.
\[ \sum_{i=1}^{D}|x_i-y_i| \]
Mean Square Error (MSE): Good for penalizing outliers. \[ \sum_{i=1}^{D}(x_i-y_i)^2 \]
Root Mean Square Error (RMSE): A more interpretable version of MSE. \[ \sum_{i=1}^{D}\sqrt{(x_i-y_i)^2} \]
The data was provided by Lyft, the owner of the BSS company Baywheels (formally GoBike) operating in San Francisco Bay Area.
Station Standardization:
Definitions